Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 from langchain.chat_models import ChatOpenAI
 from langchain.chains import LLMChain
 from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, SystemMessagePromptTemplate
+import hashlib
 
 # Set up OpenAI API key
 os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY")
@@ -97,6 +98,7 @@ with gr.Blocks(css=css) as demo:
     msg = gr.Textbox()
     clear = gr.Button("Clear")
     state = gr.State("initial")
+    audio_output = gr.Audio(label="Response Audio", autoplay=True)
 
     def user(user_message, history, stage):
         return "", history + [[user_message, None]], stage
@@ -104,12 +106,16 @@ with gr.Blocks(css=css) as demo:
     def bot(history, stage):
         bot_message, new_stage = respond(history[-1][0], history[:-1], stage)
         history[-1][1] = bot_message
-        return history, new_stage
+        
+        # Generate a unique, short filename for the audio
+        filename = hashlib.md5(bot_message.encode()).hexdigest()[:10] + ".wav"
+        
+        return history, new_stage, (filename, bot_message)
 
     msg.submit(user, [msg, chatbot, state], [msg, chatbot, state], queue=False).then(
-        bot, [chatbot, state], [chatbot, state]
+        bot, [chatbot, state], [chatbot, state, audio_output]
     )
-    clear.click(lambda: ([], "initial"), None, [chatbot, state], queue=False)
+    clear.click(lambda: ([], "initial", None), None, [chatbot, state, audio_output], queue=False)
 
     gr.Examples(
         examples=[